Morphosys

MORPHOSYS design strategy for areas designated for eviction process

MATERIAL PERFORMENCE STUDIO KRASSIMIR KRASTEV // ALEXANDER KALACHEV

MORPHOSYS design strategy designated for eviction process.

The research is being conducted at the Dessau Institute of Architecture, Germany under the program of MATERIAL PERFORMANCE studio , lead by studio master Krassimir Krastev.

2nd advisers: T.A. Alexander Kalachev /MArch, Dia Guest Teacher/

Team: Bogdana Rutetska (Ukraine) Yuanyuan Zhuang (China)

CONTENT 1. APPROACH TO THE STUDIO BRIEF 2.THESIS STATEMENT 3 .INITIAL RESEARCH

3.1 FORCED EVICTION PROCESS IN THE WORLD 3.2 RESIDENTIAL SEGREGATION 3.2 RESIDENTIAL SEGREGATION AS THE RESULT OFFORCED EVICTION PROCESS 3.3 SITE RESEARCH 3.4 PRICING POLICY /DEVELOPERS LOGIC/

4. SITE RESEARCH 5. INTERACTIVE TOOL 6. ARCHITECTURAL PROPOSAL 6.1. MODERN CONSTRUCTION TECHNOLOGIES 6.2 DESING PROPOSAL

7. CONCLUSION 8. ATTACHMENT

8.1 STUDIO BRIEF 8.2 FIRST PHASE SOCIAL RESEARCH 8.3 REFERENCES 8.4 BIBLIOGRAPHY

FORWARD

We would like to thank DIA school and all our friends starting with Material Performance team ; Sebastian (Poland), Andrea (Italy), Lila (Iran), Tanya (Ukraine), Andrew (Ukraine), Malik (Egypt), Ali (Pakestan), Bahnu (India), Foram (India), Arieo (Indonisia), Mateo (Italy) for great time through the master year. We appreciate and thank for help of our friend who were close to our project development: Maks (Ukraine), Bai (China), Olga (Ukraine), Yan(China), Daria (Ukraine), Ira(Russia), Raushana(Russia), Eva(Greece), Nadine (Siria) and to all our colleagues who study in DIA.

Spacial thanks to Krassimir Krastev /1st advisor/, to Neal Leach /guest professor/ ant to our friend and 2nd advisor Alexander Kalachev.

We dedicate this work to our families.

1. APPROACH TO THE STUDIO BRIEF

TO THE STUDIO BRIEF* Studio Material Performance

The task for WS 2013 in our studio was took up the challenge to develop visionary prototypes for housing structures in the Istanbul, engaging the rich variety of topography-related, socio-economic and urban growth-related conditions this dynamic metropolis has to offer. Each group in our studio have concertrated their attention on the particular problem that we found more interesting for each of us. Our groop based our project on the dealing with eviction problem. Since Istanbul currently is under the transformation process the mass forsed eviction process started few years ago. The project was an investigation of eviction process in the Istanbul with an attempt how to build the strategy of dealing with this problem.

As far as eviction process is more political, economical and social problem, the idea was first to explore the social question and find the posibility to bring it on the architectural level, to explore the posibility of using the social network as a base for the designing process. We worked with the social network as with a materials that apears on the place apropriate family location/ position.

Following the submission in the first semester where we have understood the work of the social structure the studio continues to explore economical asp ect of the evicted district. The aim of of this semester was to understand the work of pricing policy on the site. Our design representing the economical map that have created on the site.

* studio brief look on the page ............

2. THESIS STATEMENT

2. THESIS STATEMENT

Our proposal is a desing strategy to improve conditions of contemporary lifestyles in areas designated for eviction. This is tested on historical site with valuable cultural heritage in Istanbul.

We are creating a residential neighbourhood that integrates conditions for different income groups as the opposed to the current trends to segregate of residential communities.

Using developers logic based on return of investment we are offering a stra tegy to benefit from the site in a more conscious and humane way. We provide an interactive tool that tests how the emergence of different public spaces may affect the value of properties.

3. INITIAL RESEARCH

3.1 FORCED EVICTION PROCESS IN THE WORLD EVICTION PROCESS IN THE WORLD

UKRAINE

TURKEY IRAN VENEZUELA

USA THAILAND USA

AFRICA

CANADA

MEXICO HONDURAS SANJOSE

CHINA

INDONESIA

INDIA IRAQ USA

BOLIVIA

EGYPT

ANGOLA

LIBYA MALI

ARGENTINA SOUTH AFRICA

THAILAND MALI

COUNTRY WITH FORCED EVICTION PROCESS

3.1 FORCED EVICTION PROCESS IN THE WORLD DIFFERENT LEVEL OF THE EVICTION PROBLEM

Forced evictions can be broadly defined as the permanent or temporary removal against their will of individuals, families and/or communities from the homes and/or land which they occupy, without the provision of, and access to, appropriate forms of legal or other protection *.

The key reason that links up in all countries with the eviction process is the access to land that supposedly is allowing a maximisation of profits on a short term basis. The final uses of the land that is threatened or has undergone forced eviction are quite diverse according to each city:

• Upper- or middle-class high rise buildings (for instance Kurtköy, Istanbul)

• Mixed commercial/housing/office development (for instance the main threat for years for Villa 31, Buenos Aires or Hangzhou)

• Agricultural use (as for instance in both Egyptian villages)

The oficial causes of forced evictions include the absence of formal tenure rights, development and infrastructure projects, foreign direct investment, urban redevelopment and “beautification” initiatives, property market forces and gentrification, large international events like the Olympic Games, absence of State support for the poor, and political conflicts and natural hazards. Cities such as Istanbul, Buenos Aires, Santo Domingo of Karachi went through a process of globalisation throughout the 90’s and this process still continues. To reach the ideals of their planners and politicians, there is a need to find appropriate land to build the icons of the neoliberal global city catalogue. Apparently from one case to the other, the same causes (becoming a global city) are bringing the same results (moving people away in order to free out large areas of land to answer the necessities of becoming a global city).

International law clearly prohibits illegal and arbitrary forced eviction, and has repeatedly declared this practice to be a gross and systematic violation of human rights. Nevertheless, forced evictions continue to take place in virtually all countries of the world. In the overwhelming majority of these cases, the evicted people receive no relocation assistance or compensation, and end up even poorer than before. * Committee on Economic, Social and Cultural Rights (CESCR), general comment n°7 on forced evictions and general comment N°4 on adequate housing

3.1 FORCED EVICTION PROCESS IN THE WORLD DIFFERENT LEVEL OF THE EVICTION PROBLEM

The problem of eviction people directly is not architectural. It should be considered at several levels, and have every single one of them touches the architecture. So the initial task to disassemble its components, for further deep development.

BANGKOK,THAILAND First off you get one month advance rent and two months security deposit. Then if they miss one month you hire thugs to throw them out,this is the way how evction processing happened in Thailand.

INSTANBUL,TURKEY GORMENGHAST, that is, the main massing of the original stone, taken by itself would have displayed a certain ponderous architectural quality were it possible to have ignored the circumfusion of those mean dwellings that swarmed like an epidemic around its Outer Walls. They sprawled over the sloping earth, each one halfway over its neighbor until, held back by the castle ramparts, the innermost of these hovels laid hold on the Great Walls,clamping themselves thereto like limpets to a rock.

SHANGHAI,CHINA The villages appear on both the outskirts and the downtown segments of major cities, including Beijing, Shenzhen and Guangzhou. They are surrounded by skyscrapers, transportation infrastructures, and other modern urban constructions.Urban villages are commonly inhabited by the poor and transient, and as such they are associated with squalor, overcrowding and social problems. However, they are also among the liveliest areas in some cities and are notable for affording economic opportunity to newcomers to the city.

3.1 FORCED EVICTION PROCESS IN THE WORLD DIFFERENT LIFE STYLE && SAME STRATEGY

3.1 FORCED EVICTION PROCESS IN THE WORLD DIFFERENT LIFE STYLE && SAME STRATEGY

DIFFERENT LIFE STYLE && SAME STRATEGY

COUNTRY

UKRAINE

TURKEY

CHINA

THAILAND

NEED groud level slope green zone earthquake rainfall temperature wind direction solar sunshine window church/mosque pray place bus subway street school kindergarten parking stadium police hospital landury coffee restaurant workshop maket grocery store palyground sitting place sport place garden ventilation building orientation

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3.2 RESIDENTIAL SEGREGATION

SOCIAL HOUSE ARROUND THE WORLD AS THE WORLD ANSWER ON EVICTION PROCESS

Result that are flolowing the eviction process is the problem of the residential segregation. Forced evictions continue to take place in virtually all countries of the world. In the overwhelming majority of these cases, the evicted people receive no relocation assistance or compensation, and end up even poorer than before. The luckiest one are moving to the social housing that are provided by goverment institution. And in this case the problem of residential taking place.

Residential segregation on the basis of both income and ethnicity is a universal feature of all cities in which people have a measure of control over where they live. Patterns of spatial segregation are long established and many of the most deprived areas have been so for at least a generation. Many of the poorest n eighbourhoods in London have been amongst the poorest since 1881. Recent research on housing markets has established a powerful reason why the poor tend to be confi ned to the most deprived neighbourhoods with the worst schools, highest crime rates and lowest levels of both public and private amenities. All such characteristics of neighbourhoods are effectively capitalised in house prices and rents. It costs more to live in nicer neighbourhoods. The poor do not choose to live in areas with higher crime rates and worse pollution: they cannot afford not to. That is, the incomes of people determine the character of the neighbourhood they can afford to live in. And the design of mass social housing only beginning fix the process of residential segregation.

Social housing became widespread in the 1980s in Europe and North America and still is the only one answer for the eviction process, as the common way of possible compensation. Although every year the progress in the design of social housing is becoming higher and higher, but also from year to year more apparently becoming problems related to the residential segregation. Short overview you about the social housing around the world you can found on the next pages.

Haringey, North London El Astillero (Cantabria) Paris

The aversive mentality of the Spaniards to rental houses and government spending cuts in the 1980s have dropped rented public housing in Spain to a minimum. Rented public houses were relatively common in the Francisco Franco (1936–75) era.

With the advent of democracy and the 1978 Constitution, the management of social housing depended mostly on the Autonomous regions.

The government launched a major construction plan, including the creation of new towns ("villes nouvelles") and new suburbs with HLM (Habitation à Loyer Modéré, "low-rent housing").

Quality was also effectively regulated, resulting in decent or even top quality housing for the standard of the 1950s and 1960s. France still retains this system, a recent law making it an obligation for every town to have at least 20% HLM. Nowadays HLM represents roughly half of the rental market.

Salford

The Decent Homes programme, a capital fund to bring social housing up to a modern physical standard.

In the United Kingdom public housing is often referred to by the British public as "council housing" and "council estate", based on the historical role of district and borough councils in running public housing. Mass council house building began in about 1920 in order to replace older and dilapidated properties.

3.2 RESIDENTIAL SEGREGATION housing the world PROCESS SOCIAL HOUSE ARROUND THE WORLD AS THE WORLDSocial ANSWER ONinEVICTION

Hong Kong

In Hong Kong, public housing is one of the major housing policies of the government.

Nearly half of Hong Kong's population lives in public housing

Brooklyn

Canada, especially Toronto, still maintains large high-rise clustered developments in working-class neighborhoods, a system that has fallen into disfavor in both the UK and US. However, Toronto Community Housing, one of the largest public housing agencies in North America, has a variety of buildings and communities ranging from individual houses to townhouse communities and mid-rise and high-rise apartments in both working-class and middle-class neighborhoods. They house low-income Canadians.

New York City's First Houses, dedicated in 1935, were the nation's first public housing project.

Most housing communities were developed from the 1930s onward and initial public housing was largely slum clearance.

Public housing in its earliest decades was usually much more working-class and middle-class and white than it was by the 1970s.

Vancouver

In Canada, public housing is usually a block of purpose-built subsidized housing operated by a government agency, often simply referred to as projects or community housing, with easier-to-manage town houses

3.2 RESIDENTIAL SEGREGATION Public housing in the world

housing isTHE a form of housing which theANSWER property is owned by a government authority, which may be central or local.

SOCIAL HOUSEPublic ARROUND WORLD AStenure THE inWORLD ON EVICTION PROCESS the common goal of public housing is to provide affordable housing

Toronto

photo from video

Return of the population of the surrounding area of the Sulukule district

2008 - ......

Selling of the new building. The house in the area that was forcibly bought for now after restructuring costs 1 milion 60 liras,

2009

Active process of restructuring territory of the Sulukule district.

2006-2008

Process began with the eviction of the population.

2006-2008

Attempts of the population accustomed to new territory

2006

Eviction and demolishing in process. Most residents did not want to leave their homes because they have lived here all my life, they were born here, grew up, here grew up their children

2006

The beginning of work social organizations in IstanbulBeginning of the struggle against the process of esettlement of the neighborhood.

The urban transformation project started

Sulukule (literally: "Water tower") is a historic . settlement in the Fatih district of Istanbul, Turkey The area has historically been . occupied by Romani communities

3.3 RESIDENTIAL SEGREGATION AS THE RESULT OFFORCED EVICTION IN ISTANBUL ONE NEIGHBOURHOOD STORY "The eviction process step by step (Fatih, Sulukule)"

2010 - ......

2010 - ......

http://vimeo.com/41657784

3.3 RESIDENTIAL SEGREGATION AS THE RESULT OFFORCED EVICTION IN ISTANBUL THE BIG SCALE DRAW PICTURE

Diagrammatic representation of the Sulukule neighbourhood story shows the global relocation people in the city on the time line. People who have not managed to settle down in the new territory, trying to restore his life back as close as possible to its past habitat area.

Tasoluk the place that was provide to live to evicted families the rent cost 400 liras per month + utilities around 300 liras

Sulukule the rent cost 120 liras per month

2 years later after 2 years of living in Tasoluk a lot of families couldn’t affort that anymore and they have to move back (but not directly to Sulukule but to the nearest neighborhoods)

40 km

10 liras in on way

3.3 RESIDENTIAL SEGREGATION AS THE RESULT OFFORCED EVICTION IN ISTANBUL THE BIG SCALE DRAW PICTURE

Diagrammatic representation of the force eviction neighbourhood process on the cit

3.3 RESIDENTIAL SEGREGATION AS THE RESULT OF FORCED EVICTION PROCESS MIXED INCOME COMMUNITIES

Counterweight to the residential segregation more often you can hear the discussion about the mixed income neighbourhoods. From the history you can see that the resedential segregation is the long time process in terms that segregation situation might stay for centuries. This was very clearly the case in ancient Rome in which there were neighbourhoods segregated by artisanal trade as well as income. The particular patterns of segregation seem to be remarkably stable over time. Many of the London neighbourhoods amongst the poorest in 1881 were still amongst the poorest in 2001 (Meen et al., 2007); there is substantial stability in the pattern of the local authority areas which were most segregated in 1971 and in 2001 (Meen, 2006).

The desire for neighbourhoods to be more ‘mixed’ or ‘balanced’ is not new. In the late 80 few programm have took place.

One of them Moving to Opportunity (MTO) programme was set up in 1992 to ‘assist very low income families with children who reside in public housin to move out of areas with high concentrations of persons living in poverty to areas with low concentrations of such persons’.

There were some positive findings, apparently supporting the underlying hypothesis that moving to a better neighbourhood would have a beneficial impact on individuals. After two years there were indications of improvements in children’s behaviour, health and educational achievement. There were, however, no differences in economic outcomes. But the programme was greeted as cautiously supporting the causal link between living in a deprived neighbourhood and negative impacts on an individual’s life chances. Few more existing examples of mixed income communities you can fing and the refferences.

The attempt to avoid the residential segregation to create a new approach for designing neighbourhoods for 21 centuries was aplied in this project.

We have started to consider the way of developing the mixed income community from the developers point of view.

3.4 PRICING POLICY

/ DEVELOPERS LOGIC/

PRICING POLICY COMPONENTS

Apartment price destribution in Beyoglu, Istanbul. This reseaarch was based on an apartment price destribution in Beyoglu, Istanbul. This research was based on the turkish real estate websites data. For this reseach was taken the apartment with the same desing quality in terms of checking the price changing based on the apartment location inside the same districthe turkish real estate websitesPRICE data.AND ForLOCATION this reseach was taken the apartment with the same design.

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;

2 bedroom apartment £464,245 / lnise view on the bousford, upper floor/

10

30469

P

MAHALLES

=

@ME

KADI

DES

CAD

ES

CADD

IZ

Y

10385 1.578

20

15

AN

MUSTAFA >ELEB

KASIMPA|A SURUR

BEYO~LU YEN >E|ME MAHALLES

10236 1.287

25

3

KAT P

SAKIZ

S

CADDE

RI

AKS

o

CADDES

R

30

3

CAD

KUYU

KUL

BAYI

Y

MAHKEME ALTI

MAHALLES

;

5

5

t

u

t

BEYO~LU KADIMEHMET

3

R

8

CADD

Y

CI

NALIN

CADDES

Y

R

t

P

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5

30470 MEVK

CADD

o C

5

t

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KASIMPA|A

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o

TAKS M MEVK

W ES

DE

AYDE

CADDES

ZNCRL

BEYO~LU B LB L MAHALLES C

HASK

CADDES

3

MEVK

PA|A KASIM

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CADDES

y

DOLAPDERE

ES

t

ES

o

35

TAKS M MEVK

9

x

TERSANES

o

5

x x xx w x x x x x x w x xxx w xx

HASK@Y

TA|KIZAK

t

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MAH.

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P YALE PA|A

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10.475

PYALE PA|A BULVARI

HAN

8

CADDES

Y

o

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KURTULU

40562

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Y

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ty

Y

5

.

9.351

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Y

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CADDES

| DERES

MAHALLES 40563

R

y

Y

x xx x xx x xx x xxxx

Y

SARAY

o

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x

| |L HACI H SREV

R

CADDE PA|A @MER SERDAR

CADD

o

o

Y

o

xx x xxxxx xx xx xxx xx xxxxx xx x

t

DOLAP

S

8

I

o

x xxxxxx xx

o

5

DERE

.

17.508

3 u

YE

o xx

P

xxx x x x

S

CADDE

40561

3

t

DES

ALI

AYN

t

R

KULAKSIZ MEVK

t

Z A~AC SAKI

(VAL

K@P

GAL

w w w w w ww w w w w w w w

KULLU~U

w w w w ww w w w w w w ww ww w w w w w w ww w ww w w w w w w w w w w w w w w ww w w w w w w w w w w ww ww w w w w w w w w ww ww w w w w w w ww w w ww w w w w w w w

x 0 0 0 0 0 0 00 0 0 0 0 00 00 0 00 000 x 0 0 0 0000 0 00 0 00 0 0 0 000 0 000 00 0 00 0 0 00 00 00 0 00 00 0 0 0000 00 0 000000 00 0 00 0 0 x 0 00 0 000000 00 00 0 0000 0 000 0 000 0 0000 00 0 00 0 0 00 00 00 0000 0 0 0 0 0 0 0000 0 0 00 000 0 0 0 0 0 00 00 00 00 0 00 0 0 000 00 0 000 00 00 0 000 00 00 0000000 0 0 00 0 00 0 000 00 0 00 0 0 0 0000 0 0 0 00 0 000000000 0 00 0 000 00 00 00 0 0000 00 0 0 00 0 000000 00 000 000 0 00 00 0000 00 0000 0 000 0 W 0 0 0 0 00000000 0 0 0 0 0 0 0 00 0000 00 000 0 000 0 00 0 0 00000 000 000 0 0 0 0000 00 0 00 0 0 0000 00000 0 0 00 0000 000 0 0 00000 0 0000 000 0 00 0 0000 0 0 0 0 00 0 00 00000 00 0000 00 000000 00 0 0 0 00 30457 000 0000 0 00 0 000 00 0000000 = 000 o 42.256 00 0 0 00 00 00000 0 0 0 0 0 00 0 00 000 0 0 0 00 0 0 00 00 0 0 00 0 0 t 0 00 0 0 0 00 0 00 00000 000 0 0 0 00 00 0 00000 00 0 0 00 0000 0 00 00 000 0 00 0 0 0 0 0 0 0 0 0 000 KULAKSIZ 0000 0 0000 0 0 0000 000000000 0 KADI MEHMET 0 000 0 00000 0 000 000 MAHALLES 000 000000 0 0 00 00 t 000 0000 00000 0 0 00 000 00 00 0 0 0 0 00000 0 0 00 00 0 0 000 00 0 00 0 0000 0 0000 0 0 00 P 0 000 0 00 00 0 0 0 0000000 00 000000000 00 KASI 000 0 0 0000000000 MPA 00 00 00 00

CAD

ES

AN

CADD

FERD

K@Y

TUR

o

Y

ATA

ESK

HAS

ES

CADD

AK

KAV

HAMT

A|A

RS

x x

=

29.534

K@P

SULT

HAK

30456 IMP

AN DE

ABDL

2

RS)

;

0.627

w w

AN SULT E RS VALD K@P

KAS

10237

t

x

S

00

x

9

DES

ox

99

KE>EC P R MAHALES

CAD

/ close to the stadium /

CADDE

£144,297 2 bedroom apartment

3.384

x

x x

3.4 PRICING POLICY

/ DEVELOPERS LOGIC/

PRICING POLICY COMPONENTS

COMPONENTS OF PRICE POLICY PRICING POLICY

1. Price expectations of consumers planned to various types of housing for different segments

5. Definition of indirect cost factors (loans, mortgages, installment, discounts, and various forms of payment, etc.) that have a positive impact on the consumer.

2. Calculation of price elasticity of demand

4. Definition of points of demand on the various proposals of the customer - how to maximize the customer base and

3. Determination of the degree of influence on the expected

to maximize financial performance;

price of the various parameters: distance, number of floors, type of construction material, etc.

PLACEMENT POLICY * Pricing policy - making recommendations on pricing is based on a study of consumers' price expectations of different segments for different types of housing, including directly at the customer's request.

Placement policy - the geographical location the factor or factors in the property market often plays a decisive role - depending on the direction and location of the site will change represent different target segments of consumers about the attractiveness of the site in terms of buying real estate on it, the structure of the property, the ability to delete it from the city, the need for the various elements of the infrastructure, etc. The analysis of spatial behavior and perceptions of the respondents of the city and surrounding areas include:

3.4 PRICING POLICY

/ DEVELOPERS LOGIC/

FACTORS AFFECT THE HOUSING PRICE

1 2

POSITIVE

3 4 5 6

NEGTIVE

7 8 9

LITTEL EFFECT

10 11

THE LARGER BETTER

12 13 14 15 16

THE SMALLER BETTER

17 18 19

CONSIDERED FACTORS

20 21 22 23 24

NOT CONSIDERED FACTORS

25

26 27

DIFFERENCE GROUP

THE COMMUNITY LEVEL LIVING CONDITION

SITE LOCATION

TRANSPORTATION

GREENZONE

MOSQUE

STREET

KIDERGARDEN

WORKSHOP

MARKET

CITY CENTER

SUN

VENTILATION

LIGHT

VIEW

QULITY OF BUILDING

SIZE

FLOOR

VOLUME

METERIAL

PARKING

SWIMMING POOL

10

10

10

8

7

4

7

6

4

4

6

8

4

4

4

4

4

3

3

3

6

4

4

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

LOWER GROUP

AVERAGE SALARY

LEVEL OF ECONOMIC

10

PARAMETER AFFECT THE PRICE INDEX

MIDDLE GROUP

DEMAND

DESIGN CONDITION

SUPPLY

POSITION (DISTANCE TO PUBLIC FUNCTION)

UPPER GROUP

SOCIETY ECONOMIC

CONSIDER INDICATOR DIRECTION OF IMPROVMENT ORGANIZATIONAL DIFFICULTY (10=DIFFICULT)

22

23

24

25

26

27

4. SITE RESEARCH

4. SITE RESEARCH

THE EVICTION MAP IN INSTANBUL

T

4. SITE RESEARCH

SITE LOCATION /TARLABASI MAP/

9

9

r

k kk

o

r

S S S

r

rlabasi(total) tal) TARLABASI TERRITOTY NEXT WAVE DEMOLISHING AREA

A B C

S.Muhtar B端lb端l Cukur

closest to Taksim square , where much organic property regeneration has already occurre the Municipality backed regeneration zone ,in the centre where the demolition and construction of the real estate is underway lower area that lies closest to Galatasaray and the Golden Horn

Good in Repair Dilapidated Ruined NonResidential Use Residential Use

0.8 0 .8 8

R o

1..0 1 1.0

3414 34 146 46 164.690

4. SITE RESEARCH

TARLABASI VIEW FROM INSIDE

This pictures was taken during the study trip. There we met the feeling of the strong relationship inside the neighbourhood, hight density of activeties that are helping people to survive, children that are playing atound, women that are making laundry and nems that are reparing the cars. people choose Tarlibasi for place to live because of the law rent price and and the feeling of freedom.

4. SITE RESEARCH

THE TARLABASI COMMUNITY SCENERY

Coffeehouse

Hamman

Chat

Bazaar

Coffee shops were where people gathered and exchanged information. Coffee was an excuse to bring people together from different homes.Hookah are very special for the Turkish people, peopel gathered enjoyed the Hookah has become the main way to relax and communication.

Islam is the dominant religion of Turkey, it exceeds 99% if secular people of Muslim background are included.Research firms suggest the actual Muslim figure is around 98% or 97%.So Hamman is special important for turish people.

Turkish chat were unique. They had played an important role for Turish life .

Street is important. It serves as a public space for all kinds of activity.

Bazaar is the main place of purchase or exchange.Traditional market more attractive to people, Specifically for the people who lived in Tarlabasi now.The poor people can sell small or handmade staff,this is the way how the survive.

Parks

Places for rest many Turkish families. The large parks are not a frequent phenomenon in the urban structure. They are replaced by small domestic gardens

Laundering

Laundry is a characteristic phenomenon of the territory of the Tarlabasi neighborhood. Raising his head you can see many ropes.

Worshops

Many families have all kinds of workshops that will help them support their families financially.

These workshops can be a cafe, Hairdressers, grocery stores etc.

GreenZones

Terrain elevation, Istanbul relatively little green space.But only a handful of green space has always been a gathering place for people.Children are play,small vendors that sell things etc.

Stockpile

Because of the limitations of living space, people always put their own staff piled up at random on the road.

4. SITE RESEARCH

MAPPING ACTIVITIES ON THE SITE

5. INTERACTIVE TOOL

5. INTERACTIVE TOOL

MAKE YOUR CALCULATION

SUROUND AREA CALCULATION

GREEN ZONE BUS STOP BUS STOP INFLUANSE RADIUS

KINDERGARTEN

SCHOOL SCHOOL INFLUANSE RADIUS

KINDERGARTEN

MOSQUE MOSQUE INFLUANSE RADIUS

MARKET

CHURCH CHURCH INFLUANSE RADIUS

HOSPITAL

GREEN ZONE HOSPITAL INFLUANSE RADIUS

NEW FUNCTION CALCULATION MARKET

GREEN ZONE

MARKET INFLUANSE RADIUS

GREEN ZONE GREEN ZONE INFLUANSE RADIUS

MARKET

KINDERGARTEN KINDERGARTEN INFLUANSE RADIUS

NEW ROAD CALCULATION CALCULATION

EXECUTE CALCULATION

GREEN ZONE

5. INTERACTIVE TOOL ABOUT

As part of the strategy was to develop an interactive tool where developers would be able to create an economic scheme space area. This tool can help predict the pricing of space after fixing the public space, including space types, amount of space , space size, space location and etc .

The tool operates in 2 layers of calculation: 1. The first step is to calculate the assessment of existing surround environment , this assessment will be used as the base for all next subsequent manipulations with the space.

2. The second step is to add the new space that on the site from the list, such as the market, kindergarten, green areas, a doctoral practice, etc. The type, location, size of these functions affect the pricing area. After the location of each of these functions on the site you can check by the amount of expensive and cheap apartments. Developers can create own rules for controlling this apartments.

5. INTERACTIVE TOOL

VECTOR REPRESENTATION OF THE 3D SPACE & CALCULATION LOGIC

We have started to work with the three-dimensional space which is a geometric 3-parameters model of the physical universe ( without considering time) in which we exist. These three dimensions can be labeled by a combination of three chosen from the terms length, width, height, depth and breadth.

NumFamily = 500 AreaSite = 40000m^2 HVolume= 800000m^3 NUMPoint = 26064 NumModel = 26064 Model Size = 3*3*3m MArea= 9m^2 MVolume= 27m^3

5. INTERACTIVE TOOL SITE CONTEXT

9

9

r

k k

o

r

S S S R

r

ECONOMIC POINT RELIGION POINT

RADIUS OF INFLUANCE 50M RADIUS OF INFLUANCE500M

TRANSPORTATION POINT PUPLIC SURVISES POINT

RADIUS OF INFLUANCE 180M RADIUS OF INFLUANCE 200M

o

34146 164.690

5. INTERACTIVE TOOL

THE EXSITING SPACE INFLUENCE RADIUS

LANDMARK (EXSITING)

R1

Amount of functions = 1

R2

Amount of functions = 3

R3

Amount of functions = 1

Radius of functions = 10.5 m

Radius of functions = 5 m

Radius of functions = 50 m

Radius of Influence = 20 m

Radius of Influence = 50 m

Radius of Influence = 1000 m

Height of Influence= 12 m

Height of Influence= 3 m

Height of Influence= 12 m

MOSQUE (EXISTING)

R4

SCHOOL (EXISTING)

BUS STOP (EXSITING)

Amount of functions = 1

WORKSHOP (EXISTING)

R5

Amount of functions = 10

HOSPITAL (EXISTING)

R6

Amount of functions = 1

Radius of functions = 25 m

Radius of functions = 10m

Radius of Influence = 50 m

Radius of Influence = 100 m

Radius of Influence = 20 m

Height of Influence= 3 m

Height of Influence= 3 m

Height of Influence= 3 m

Radius of functions = 20 m

5. INTERACTIVE TOOL

THE EXSITING SPACE INFLUENCE RADIUS ON THE SITE

BUS STOP

SCHOOL

CHURCH

MOSQUE

INFLUENCE RAIUS

MAX

WORKSHOP

HOSPITAL

5. INTERACTIVE TOOL

THE ADDING SPACE INFLUENCE RADIUS

R1 R2

R1 R3

GREENZONE SPACEDIMENSION

D=10M D=20M

R1

SPACENUMBER

R1=15M

MaxNum=5 MaxNum=4

D=25M

R3=40M

MaxNum=3

D=30M

R4=55M

MaxNum=2

SPACEDIMENSION

R2 R3

KINDERGARDEN

MARKET

INFLUENCE

R2=30M

R2

R4

INFLUENCE

SPACENUMBER

D=13M

R1=23M

MaxNum=2

D=16M

R2=30M

MaxNum=1

SPACEDIMENSION

INFLUENCE

SPACENUMBER

D=12M

R1=30M

MaxNum=3

D=15M

R2=40M

MaxNum=2

D=20M

R3=55M

MaxNum=1

5. INTERACTIVE TOOL

INFLUENCE RADIUS ON THE SITE

GREENZONE

INFLUENCE RAIUS

MAX

MARKET

MIN

KINDERGARDEN

5. INTERACTIVE TOOL

POTENTIAN AREA FOR PLASING FUNCTION

MARKET DIRECT CONNECTION TO THE MAIN STREET

GREEN ZONES NO DIRECT CONNECTION TO THE MAIN STREET

KINDERGARDEN NO DIRECT CONNECTION TO THE MAIN STREET

5. INTERACTIVE TOOL

SPACE VARIATION FOR GREEN ZONE

+ 21,000

+ 21,000

+ 21,000

+ 18,000

+ 18,000

+ 18,000

+ 15,000

+ 15,000

+ 15,000

+ 12,000

+ 12,000

+ 12,000

+ 9,000

+ 9,000

+ 9,000

+ 6,000

+ 6,000

+ 6,000

+ 3,000

+ 3,000

+ 3,000

+ 0,000

+ 0,000

+ 0,000

SECTION A1-A1

3,000 3,000

3,000 3,000 3,000 18,000

3,000

3,000

GREEN ZONE Rmin

3,000

24,000 3,000

3,000

3,000

3,000 3,000 21,000

3,000

3,000

3,000

3,000

3,000

3,000

3,000

3,000

A2

A3

3,000

3,000 3,000

21,000

A3

3,000

3,000

3,000

3,000

3,000 3,000 3,000 3,000

A2

3,000

18,000

A1

3,000

A1

SECTION A3-A3

SECTION A2-A2

3,000

GREEN ZONE

3,000

3,000

3,000 3,000 24,000

3,000

3,000

3,000

GREEN ZONE Rmax

5. INTERACTIVE TOOL

SPACE VARIATION FOR MARKET

+ 12,000

+ 12,000

+ 9,000

+ 9,000

+ 6,000

+ 6,000

+ 3,000

+ 3,000

+ 0,000

+ 0,000

SECTION A2-A2

3,000

30,000 3,000 3,000

24,400 3,000 3,000

3,000

3,000

3,000

3,000

3,000

3,000

3,000

SECTION A1-A1

3,000 3,000

3,000

A1

3,000

3,000 3,000 18,000

3,000

3,000

MARKET Rmin

A2

3,000

A2 3,000

3,000

3,000

A1

3,000

3,000

3,000

3,000

3,000

3,000

3,000

3,000

3,000

27,000

MARKET Rmin

5. INTERACTIVE TOOL

SPACE VARIATION FOR KINDERGARDEN

+ 9,000

+ 9,000

+ 9,000

+ 6,000

+ 6,000

+ 6,000

+ 3,000

+ 3,000

+ 3,000

+ 0,000

+ 0,000

+ 0,000

SECTION A1-A1

3,000 3,000

3,000 3,000 3,000 21,000

3,000

3,000

12,000 3,000 3,000

A2

12,000

3,000

3,000

3,000

3,000

KINDERGARDEN Rmin

3,000

27,000

3,000 3,000

A2

3,000

3,000

12,000

24,000 9,000 3,000

3,000

3,000 3,000

A2

3,000

A1

3,000

3,000

3,000

3,000

3,000 3,000 3,000 3,000

21,000

3,000 9,000

3,000

A2

3,000

A1

SECTION A2-A2

SECTION A2-A2

3,000

3,000

3,000

3,000

3,000

24,000

KINDERGARDEN

3,000

12,000 3,000 3,000

3,000

3,000 3,000 27,000

3,000

3,000

3,000

5. INTERACTIVE TOOL

CALCULATION PROCESS

0.0

0.0

0.0

-2.0

MARKET MARKET SPACE DECREASE THE SURROUND VALUE FOR THE UPPER CLASS

2.0

GREEN ZONES GREEN ZONE SPACE INCREASE THE SURROUND VALUE FOR THE UPPER CLASS

-1.0

KINDERGARDEN MARKET SPACE DECREASE THE SURROUND VALUE FOR THE UPPER CLASS

5. INTERACTIVE TOOL

CALCULATION PROCESS

-0.3 -0.6 6 -0.9 -1.2 -1.5 -1.5 -1.5 -1.5 -1.5 -1.2 -0.9 0.0 0.0 00 -0.6 -0.9 9 -1.2 -1.5 -1.7 -1.7 -1.7 -1.7 -1.7 -1.5 -1.2 -0.9 0.0 0.0 0

K2

-0.3 -0.6 6 -0.9 -1.2 -1.5 -1.7 -2.0

-2.0 -1.7 -1.5 -1.2 -0.9 0.0 0

0.3 0.3 03 0 0.3 3 0.0 -0.6 6 -0.9 -1.2 -1.5 -1.7 -2.0

-2.0 -1.7 -1.5 -1.2 -0.9 0.0 00

0 0.6 0.6 0.6 0.6 0.3 6 0.3 0.0 -0.3 -0.9 -1.5 -1.7 -2.0 0.3 0.6 0.9 0.9 0.9 0.9 0.6 0.0 -0.3 -0.9 0.3 -1.7 -2.0 -2.0 0.3 0.6 0.9 1.2 1.2 1.2 1.2 1.2 1.2 1.2 0.9 -0.9 -1.2 -1.7 -1.7 0.3

0.9 1.2 1.5 1.5 1.5 1.5 1.5 1.5 1.2 0.9 -0.9 -1.2 -1.5 -1.5

M income group /32%/

-0.6 -0.9 -1.2 -1.5 -1.7 -2.0 -2.0 -2.0 -2.0 -1.7 -1.5 -1.2 -0.9 0.0 0 0.0 0

-2.0 -1.7 -1.5 -1.2 -0.9 0.0 0 -2.0 -2.0 -1.7 -1.5 -1.2 -0.9 0.0 0 -1.7 -1.7 -1.5 -1.2 -0.9 -0.6 6 -1.5 -1.5 -1.2 -0.9 -0.6 6 0.3

03 0.3 0.6 0.9 1.2 1.5 2.0 2.0 2.0 2.0 2.0 0.9 0.3 -06 0.6 -0.9 -1.2 -1.2 -1.2 -0.9 -0.6 0.3 0.3 2.0 1.5 0.3 0.0 -0.3 -0.6 -0.9 -0.9 -0.9 -0.6 0.3

0.3 0.6 0.9 1.2 1.5 2.0

3 2.0 1.5 1.2 0.9 0.0 -0.3 -0.6 -0.6 -0.3

0.6 0.9 1.2 1.5 2.0

K1

2.0 1.5 1.2 0.9 0.6 0.3 .

0 0.6 0.9 1.2 1.5 2.0 2.0 2.0 2.0 2.0 1.5 1.2 0.9 0.6 0.3 0.3 0.6 0 0.3 0.0

1.2 1.5 1.5 1.5 1.5 1.5 1.5 1.2 0.9 0.6 0.3 1.2 1.2 1.2 1.2 1.2 1.5 1.2 0.9 0.6 0.3 0.3 0.6 0.9 0.9 0.9 0.9 0.9 0.9 0.9 0.6 0.3 3 0.3 0.6

0.6 0.6 0.3 K

L income group /43%/

0.3 0.6 0.9 1.2 1.5 2.0

K min

A = |K min| + |K max| = 100%

0.0 -0.6 -0.9 -0.9 -0.9 -0.9 -0.9 -0.9 0.0 0.0 0 0.0 -0.6 -0.9 -1.2 -1.2 -1.2 -1.2 -1.2 -0.9 0.0 0.0 0.0 0

U income group /25%/

K max

0.0 0.0 0 0 0.0 0.0 0 0.0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

5. INTERACTIVE TOOL

SPACE INFLUANCE ON AMOUNT OF DIFFERENT INCOME GROUP

AMOUNT OF SPACE VS DIFFERENT INCOME GROUP PROPORTION MARKET (ADDING)

GREENZONE (ADDING)

AmountMarket = 1,2,3 MarketSize = 13m^2 AmountGreenZone =3 GreenZoneSize = 20m^2 AmountKindergarden =2 KindergardenSize = 15m^2

AmountMarket =1 MarketSize = 13m^2 AmountGreenZone = 3,4,5 GreenZoneSize = 20m^2 AmountKindergarden =2 KindergardenSize = 15m^2

AmountMarket =1 MarketSize = 13m^2 AmountGreenZone =4 GreenZoneSize = 20m^2 AmountKindergarden = 1,2,3 KindergardenSize = 15m^2

(%)

80 70 60 50 40 30 20 10 0 1

2

3

1

2

3

1

2

3

AmountofSpace

(%)

80

DIFFERENT INCOME GROUP PROPORTION

DIFFERENT INCOME GROUP PROPORTION

DIFFERENT INCOME GROUP PROPORTION

(%)

KINDERGARDEN (ADDING)

70 60 50 40 30 20 10 0 3

4

5

3

4

5

3

4

5

80 70 60 50 40 30 20 10 0 1

2

3

1

2

3

1

2

3

AmountofSpace

AmountofSpace

MARKET

GREENZONE

MARKETRADIUS

GREENZONERADIUS

KINDERGARDEN KINDERGARDENRADIUS

UPPERINCOMEGROUP

MIDDLEINCOMEGROUP

LOWERINCOMEGROUP

5. INTERACTIVE TOOL

SPACE SIZE INFLUANCE ON AMOUNT OF DIFFERENT INCOME GROUP

SPACE SIZE VS DIFFERENT INCOME GROUP PROPORTION MARKET (ADDING)

GREENZONE (ADDING)

KINDERGARDEN (ADDING)

AmountMarket =1 MarketSize = 13,16m^2 AmountGreenZone =3 GreenZoneSize = 20m^2 AmountKindergarden =2 KindergardenSize = 15m^2

AmountMarket =1 MarketSize = 13m^2 AmountGreenZone =3 GreenZoneSize = 10,20,25m^2 AmountKindergarden =2 KindergardenSize = 15m^2

AmountMarket =1 MarketSize = 13m^2 AmountGreenZone =3 GreenZoneSize = 20m^2 AmountKindergarden =2 KindergardenSize = 12,15,20m^2

80 70 60 50 40 30 20 10 0 13

16

13

16

13

16

PublicSpaceSize(m^2)

(%)

DIFFERENT INCOME GROUP PROPORTION

(%)

DIFFERENT INCOME GROUP PROPORTION

DIFFERENT INCOME GROUP PROPORTION

(%)

80 70 60 50 40 30 20 10 0 10

20

25

10

20

25

10

20

25

80 70 60 50 40 30 20 10 0 12

15

20

12

PublicSpaceSize(m^2)

15

20

12

15

20

PublicSpaceSize(m^2)

MARKET

GREENZONE

MARKETRADIUS

GREENZONERADIUS

KINDERGARDEN KINDERGARDENRADIUS

UPPERINCOMEGROUP

MIDDLEINCOMEGROUP

LOWERINCOMEGROUP

5. INTERACTIVE TOOL EVALUATION CRITERIA

GOAL : MIXED INCOME COMMUNITIES

PRESERV THE CULTURAL ACTIVITIES

ATTRACT YOUNG FAMILIES

‘local’ families

‘newcomer’ families

MARKET

KINDERGARDEN

GREENZONE

0< M < 2

1< K < 3

1< G < 5

BY PLASING DIFFERENT FUNCTION ON THE SITE POSSIPLE TO ACHIVE DIFFERENT ATMOSPHERE ON THE SITE.

5. INTERACTIVE TOOL

MAXIMUN FUNCTION AMOUNT /SPACE CALCULATION /

CONFIGURATION 1

M3 on the site = 413 478 M3 fot function = 18 522

Amount of Markets = 0 Amount of GreenZone = 2 Amount of Kindergarden = 0

CONFIGURATION 4

M3 on the site = 399 897 M3 fot function = 32 103

CONFIGURATION 3

CONFIGURATION 2

M3 on the site = 410 507 M3 fot function = 21 493

Amount of Markets = 1 Amount of GreenZone = 1 Amount of Kindergarden = 1

CONFIGURATION 5

Amount of Markets = 0 Amount of GreenZone = 3 Amount of Kindergarden = 1

M3 on the site = 384 073 M3 fot function = 47 927

M3 on the site = 406 187 M3 fot function = 25 813

Amount of Markets = 1 Amount of GreenZone = 1 Amount of Kindergarden = 2

CONFIGURATION 6

Amount of Markets = 2 Amount of GreenZone = 3 Amount of Kindergarden = 1

M3 on the site = 378 404 M3 fot function = 53 596

Amount of Markets = 1 Amount of GreenZone = 4 Amount of Kindergarden = 2

5. INTERACTIVE TOOL EVALUATION CRITERIA

PROPORTIONAL RATION OF 3 DEFFERENT INCOME GROUP IN ORDER TO CREATE A MIXED TYPE OF COMMUNITY

43 % LOWER INCOME GROUP

32 % MIDDLE INCOME GROUP

25 % UPPER INCOME GROUP

5. INTERACTIVE TOOL

MAXIMUN FUNCTION AMOUNT / SITE = 144 000 m2, POINT NUM = 26 064, POINT VALUE = 27M2/

CONFIGURATION 1

CONFIGURATION 3

CONFIGURATION 2

Poor Income Group= 59 265 M2 Middle Income Group= 44 104 M2 Upper Income Group= 34 456 M2 CONFIGURATION 4

Poor Income Group= 58 839 M2 Middle Income Group= 43 787 M2 Upper Income Group= 34 208 M2 CONFIGURATION 5

Poor Income Group= 57 318 M2 Middle Income Group= 70 648 M2 Upper Income Group= 856 M2

Poor Income Group= 58 219 M2 Middle Income Group= 60 927 M2 Upper Income Group= 33 848 M2 CONFIGURATION 6

Poor Income Group= 55 050 M2 Middle Income Group= 40 967 M2 Upper Income Group= 32 006 M2

Poor Income Group= 54 237 M2 Middle Income Group= 40 362 M2 Upper Income Group= 31 533 M2

5. INTERACTIVE TOOL

EVALUATION CRITERIA /calculation for existing situation/

1. Connectivity:

2. Circularity:

r = L/ Lmax = L/ [3( V -2 )]

a = ( L - V +1) / (2 V -5 )

L : number of factual line between knots

r = 0.53

L max: maximum number of line between knots

L : 35

V : number of knots r : optimization number 1

V : 24 r : 0.53

L : number of factual line between knots

Đ°

L max: maximum number of line between knots

L : 35

V : number of knots

V : 24

a : optimization number 1

a : 0.23

5. INTERACTIVE TOOL

EVALUATION CRITERIA /calculation for existing situation/

upper income

middle income

lower income

upper income

middle income

lower income

upper income

middle income

lower income

upper income

middle income

lower income

upper income

middle income

lower income

upper income

middle income

lower income

5. INTERACTIVE TOOL

EVALUATION CRITERIA /calculation for existing situation/

CONFIGURATION 1

Lines: 22; Knots: 24;

Connectivity: 0.33; Circularity: 0.069;

CONFIGURATION 4

Lines: 22; Knots: 27;

CONFIGURATION 3

CONFIGURATION 2

Lines: 20; Knots: 23;

Connectivity: 0.32; Circularity: 0.049;

CONFIGURATION 5

Connectivity: 0.29; Circularity: 0.08;

Lines: 52; Knots: 37;

Lines: 26; Knots: 27;

Connectivity: 0.34; Circularity: 0.02;

CONFIGURATION 6

Connectivity: 0.51; Circularity: 0.023;

Lines: 20; Knots: 45;

Connectivity: 0.32; Circularity: 0.49;

5. INTERACTIVE TOOL

FINAL AFTER CALCULATION RESULT

UPPER INCOME GROUP POINT VALUA

UPPER INCOME GROUP

MIDDLE INCOME GROUP POINT VALUA

MIDDLE INCOME GROUP

LOWER INCOME GROUP POINT VALUA

LOWER INCOME GROUP

5. INTERACTIVE TOOL FINAL RESULT

ALL POINTS POSITION

ALL THE POINTS VALUA

DIFFERENT INCOME GROUP

6. ARCHITECTURAL PROPOSAL

6. ARCHITECTURAL PROPOSAL

SPACE CALCULATION FOR DIFFERENT INCOME GROUP FAMILIES

APARTMENT VOLUMETRIC DESTRIBUTION

Family Type

index

M

MARRIED COUPLE

LIG.1

43

MARRIED COUPLE + CHILDREN

LIG.2

67

SINGLE PARENTS

LIG.3 1.0 59

H

3.0

M3

index

129

MIG.1

201

MIG.2

177

MIG.3

k

M2

H M3

64.5

212. 85

100.5 1.5

index k

331.65

88.5

3.3 292.05.

M2

UIG.1

107.5

UIG.2

167.5

UIG.3 2.5 147.5

H

M3 419.25 653.25

3.9

575.25

SINGLE PEOPLE

LIG.4

31

93

MIG.4

46.5

153.45

UIG.4

77.5

302.25

EXTENDED FAMILIES

LIG.5

104

312

MIG.5

156

514.8

UIG.5

260

1014

DATA

M2 DATA

HALL1 min HALL2 st HALL3 big KITCHEN1 min KITCHEN2 st KITCHEN3 big

4 8 12 6 10 15

M2

DINNING ROOM1min 6 DINNING ROOM2 st 10 DINNING ROOM3 big 15 DRESS ROOM big 4 DRESS ROOM big 8 ST OREY H 3

LOWER INCOME GROUP /LIG/ MIDDLE INCOME GROUP /MIG/ UPPER INCOME GROUP /UIG/

FAMILIE TYPE

index pNum %

MARRIED COUPLE

F1.1 2

MARCOUPLE + CHILDREN F2.1

4

Hall

Kit

Din R Liv R Bed

Toilet Dr R M2

M3

index k

M2

M3

index k

M2

M3

13

4

6

15

14

4

-

43

129

F1.2

60.2

180.6

F1.3

86

258

56

8

10

15

28

6

-

67

201

F2.2

93.8

281.4

F2.3

134

402

28

6

-

59

177

F3.2 1.5

82.6

247.8

F3.3 2.5

118

354

6

-

31

93

F4.2

43.4

130.2

F4.3

62

186

8

4

104

312

F5.2

145.6 436.8

F5.4

208

624

SINGLE PARENTS

F3.1 3

6

4

6

15

SINGLE PEOPLE

F4.1 1

8

4

6

15

EXTENDED FAMILIES

F5.1 7

17

8

10

6

22

46

6. ARCHITECTURAL PROPOSAL

REDISTRIBUTION OF SPACE INSID ONE APARTMENT

6. ARCHITECTURAL PROPOSAL

REPRESENTATION SPACES ON THE SITE

Before we start talking about modern technology, we would like to answer the question of temporary resettlement ers neighborhood. Very sensitive issue is the psychological process of temporary resettlement.

The answer to this question in the project was the proposal for temporary relocation of the population located alongside a housing area for the construction time.

UPPER INCOME GROUP

MIDDLE INCOME GROUP

LOWER INCOME GROUP

6. ARCHITECTURAL PROPOSAL

REDISTRIBUTION OF SPACE INSID ONE APARTMENT

HOUSE VOLUME

STRCTURE AVOID HOUSE VOLUME CONNECT ALL THE APARTMENT

STRCTURE CONTROL LINE

6. ARCHITECTURAL PROPOSAL

STRUCTURE CONTROL LINE ON THE SITE SCALE

HOUSE VOLUME ON THE SITE

STRUCTURE CONTRL LINE ON THE SITE

STRCTURE CONTROL LINE

6. ARCHITECTURAL PROPOSAL STRUCTURE FORMING

STRUCTURE CONTRL LINE

STRUCTURE VOLUME

STRUCTURE CONFIGURATION

6. ARCHITECTURAL PROPOSAL

STRUCTURE FORMING / abstract notion /

APARTMENT VOLUME

/volume that represent the eviction neighbouhood space/

APARTMENT PLAN (ACCORDING VOLUME)

/living space for inhabitants and newcomers/

STRCTURE CONTROL LINE

/that represent the neccesity of connection inside the space/

6. ARCHITECTURAL PROPOSAL

STRUCTURE FORMING / abstract notion /

STRCTURE

APARTMENT PLAN

(ACCORDING STRCTURE) /organism that represent the neighbourhood unity/ /occupying the spaces that might be designed in your way/

STRCTURE AND APARTMENT /housing prototype for mixed type of community/

6. ARCHITECTURAL PROPOSAL STRUCTURE CONFIGURATIONS

STRUCTURE CONFIGURATION 1

STRUCTURE CONFIGURATION 2

STRUCTURE CONFIGURATION 3

6. ARCHITECTURAL PROPOSAL

BUS STOP

MASTERPLAN

GREENZONE

LANDMARK GREENZONE KINDERGARDEN GREENZONE

GREENZON MARKET KINDERGARDEN

BUS STOP

BUS STOP

6. ARCHITECTURAL PROPOSAL MASTERPLAN / DESIGNING PART /

B

A

A

B

6.1 MODERN CONSTRUCTION TECHNOLOGIES

6.1 MODERN CONSTRUCTION TECHNOLOGIES CALCULATION OF THE NUMBER OF TEMPORARY HOUSING

Before we start talking about modern technology, we would like to answer the question of temporary resettlement ers neighborhood. Very sensitive issue is the psychological process of temporary resettlement.

The answer to this question in the project was the proposal for temporary relocation of the population located alongside a housing area for the construction time.

Family numbers

421

Family type*

Family index

Num of people

Amount of families

(in one family)

(%)

Amount of people

M2 (per people)

Amount of square meter

F1

2

13

52

15

780

married couple + children

F2

4

56

224

10

2240

single parents

F3

3

6

24

18

432

single people

F4

1

8

32

20

640

extended families

F5

7

17

68

6

408

index pNum %

married couple

Hall

Kit

Din R Liv R Bed

Toilet Dr R M2

M3

index

k

M2

M3

F1.1 2

13

4

6

15

14

4

-

43

129

F1.2

34.5

103.2

married couple + children F2.1 4

56

8

10

15

28

6

-

67

201

F2.2

min koef

53.6

160.8

single parents

F3.1 3

6

4

6

15

28

6

-

59

177

F3.2

0.7

47.2

141.6

single people

F4.1 1

8

4

6

15

6

-

31

93

F4.2

24.8

74.4

extended families

F5.1 7

17

8

10

8

4

104

312

F5.2

83.2

249.6

6

22

46

Total square meter

(㎡)

married couple

Family Type

Common amount of square meter

4500

（add 35%shared space）

6075

6.1 MODERN CONSTRUCTION TECHNOLOGIES SETTLEMENT SCHEME ON THE SITE

Residents will be relocated s skyscrapers and the most necessary amenities for living for over half a year .

Location inhabitants along the stretch will allow them to observe all the activity on the construction site, in the same bringing them closer to the process of construction.

SORROUNDING BUILDING BLOCK EXSITING BUILDING BLOCK ON SITE BUILDING FOR LIVING TEMPORARY

300m^2*5F=1500m^2

300m^2*5F=1500m^2

1000m^2*5F=5000m^2

6.1 MODERN CONSTRUCTION TECHNOLOGIES CRITERIA FOR SELECTING A METHOD OF CONSTRUCTION

We have compiled a list of building disadvantages, which are very undesirable in terms of the eviction process. Also in response to this list we found a process that will help us reduce the impact of these disadvantages.

THE CONSTRUCTION DISADVANTAGES /3D OBJECT/

THE CONSTRUCTION ADVANTAGES /5D OBJECT/ FINANCING 20-25 %

SLOW SPEEDslow LABOR ONTENSIVE AND INEFFICIENT MOST HAZARDOUS JOB WASTEFUL EMISSION CAUSING CORRUOTION PRONE CISTLY AND ALWAYS OVER BUDGET

SHORT PROJECT TIME CONTROL OF TIME TO MARKET MATERIALS 25-30 % WILL BE WASTERLESS PROCESSING LABOR 45-55 % WILL BE SIGNIFICANT REDUCE ENVIRONMENT IMPACTS 30% REDUCED of CO2 20% REDUCED of ENERGY

6.1 MODERN CONSTRUCTION TECHNOLOGIES WORLD MAP OF HOT POINT OF LOCATION 3D PRINTING TECHNOLOGIES

The map shows countries where modern Research) construction technology (3D printing technology) are highly developed.

3D LIFESIZE HOUSEPRINTER(Robot

GERMANY

SOUTH KOREAN

JAPAN USA CONTOUR CRAFTING (Dr.Behrokn Khoshnevis by USC)

CONTOUR CRAFTING TECHNOLOGY ADVANTAGE: 3D PRINTER CONCREATE,REDUCES ENERGY,COMPUTER-CONTROLLED, INDUSTRIAL PARTS,PRECISE 3D OBJECT DISADVANTAGE:

FLIGHE ASSEMBLED ARCHITECTURE ADVANTAGE: REDUCE HUMAN LABOR,SPEED UP THE CONSTRCUTION PROCESS,REDUCE OF MATERIAL WASTE TO NEAR ZERO DISADVANTAGE:

SOLAR SINTER ADVANTAGE: SUN-CUTTER SOLAR POWERED,SEMIAUTOMATED LOW TECH LASER CUTTER MATERIAL IS SAND,PRECISE 3D OBJECTS DISADVANTAGE:

KAMERMAKERE(ROOMBUILDER) ADVANTAGE: MOVABLE,RECYCLE PLASTICS PLA(BIO PLASTICSPRODUCED FROM CORN),BIG SIZE 2.4(WIDTH)*3(LENGTH)*3(HEIGHT) DISADVANTAGE:

6.1 MODERN CONSTRUCTION TECHNOLOGIES DEMOLISHING IN STAGES

Stepping demolishing help organize recycling and disposal of waste at the site

HOUSE BUILDING PROCESS

STEP 1

STEP 4

STEP 2

STEP 5

STEP 3

STEP 6

SITE CONTEXT

DEMOLISHED AREA

6.1 MODERN CONSTRUCTION TECHNOLOGIES DEMOLISHED CONSTRUCTION RECYCLING

Constructuon waste during recycling ground into a powder, which is used as extender pigment component for the fiber-reinforced concrete. In this way we reduce the amount of waste in general, can avoid the problem removal and utilization of of waste.

6.1 MODERN CONSTRUCTION TECHNOLOGIES PARAMETERS OF 3D PRINTER INFLUANCE

For a basic example for such 3D printer has been taken the development of kuka robot /following the example of the University of Stuttgart, where developers have managed to unite CNC machine with a kuka robot/

8m

270째

150째

8.5m

9.5m

8.5m

6.1 MODERN CONSTRUCTION TECHNOLOGIES STRUCTURAL SUBDEVISION

12m

8m

Analysis of the structure at the radius of impact, 3Dprinter. On the plan you can see marking of areas on where additional reinforcement elements have to be placed, considering joining of components

JOINT POINTS FOR STRCTURE IN PLAN

JOINT POINTS FOR STRCTURE IN PERSPECTIVE

6.1 MODERN CONSTRUCTION TECHNOLOGIES 3D PRINTING ON THE SITE

6.2 DESIGN PROPOSAL

6.2 DESIGN PROPOSAL

A

PLAN LEVEL +6.300

GREEN ZONE

4 ROOM APARTMENT /118.1 M2/

3 ROOM APARTMENT /89.6 M2/

1 ROOM APARTMENT /47.2 M2/ B

B

GREEN ZONE 2 ROOM APARTMENT /55.3 M2/

A

6.2 DESIGN PROPOSAL PLAN LEVEL +6.300

A

6.2 DESIGN PROPOSAL PLAN LEVEL +9.300

GREEN ZONE

4 ROOM APARTMENT /118.1 M2/

3 ROOM APARTMENT /89.6 M2/

1 ROOM APARTMENT /58.4 M2/

B

B

GREEN ZONE 2 ROOM APARTMENT /55.3 M2/

A

6.2 DESIGN PROPOSAL PLAN LEVEL +9.300

6.2 DESIGN PROPOSAL SECTION A-A

6.2 DESIGN PROPOSAL SECTION B-B

6.2 DESIGN PROPOSAL

6.2 DESIGN PROPOSAL

6.2 DESIGN PROPOSAL

6.2 DESIGN PROPOSAL

6.2 DESIGN PROPOSAL

6.2 DESIGN PROPOSAL

7. CONCLUSION

Understanding the negative and positive aspects of the eviction process has helped us to develop a strategy for the areas designated to this process, according to the current pricing in the market.

With this project we want to convince the developer the ability to obtain benefits under the mutation existing environment including the preservation of the social structure on the site.

Modern technology and human approach to the problem in the end help to get benefit not only of material character but to create a good social base within the city development as well.

8. ATTACHMENT

8. ATTACHMENT STUDIO BRIEF

Studio Studio Material Performance will take up the challenge to develop visionary prototypes for structures for housing in a few locations around the Bosphorus in Istanbul, engaging the rich variety of topography-related, socio-economic and urban growth-related conditions this dynamic metropolis has to offer. Even in the current situation of economic recession throughout Europe, Istanbul continues to maintain economic growth, and the construction industry continues to produce commercial housing estates, office towers and shopping malls. Many centuries after its birth, the city continues to grow and transform itself, as structures from different epochs remain as tactile material imprints of the culture of its inhabitants. Interpreting and expanding the “neo-materialist” philosophy of Gilles Deleuze, Manuel De Landa talks about cities as the “exoskeleton” that human culture constructs around its activities (A thousand Years of Non-Linear History.) The Material Performance Studio will develop housing prototypes as a materialized manifestation of the dwelling habits of the contemporary metropolitan culture. Exploring a number of habitation scenarios, the proposed housing structures will emerge as a product of the dwelling activity continuously bending, breaking, stacking, packing, melting, eroding and assembling material around itself.

Material Materials possess the inherit property to generate structure. Soap film inherently “computes” the minimal surface and lends itself into a form that minimizes the force of tension within the membrane. Sand particles form dunes when interacting with wind, and vaults and canyons when interacting with flowing water. The Material Performance studio will exploit these form- and structuregenerative potentials of different materials as they are found in nature and as they are used in the construction industry. The design process will be driven by scientific understanding of the mechanical, chemical, thermal, acoustic and manufacturing properties of the building materials. Furthermore, research on contemporary manufacturing and assembly technology will underline the design of innovative structural prototypes.

Performance The studio will be conducted in a laboratory environment. Analogue and digital experiments will be carried out and the resulting data will be recorded and used to improve the performance of the structure that is being designed. Computational algorithms that simulate structure and material behaviour will generate and test permutations of the configuration of structural assemblies until the desired performance is reached. As computational methods underlined by thorough understanding of the behaviour of materials and structures enter a synergetic dialogue with the metropolitan landscape, architecture emerges as a product of both advanced engineering and contemporary culture.

8.2 ATTACHMENT Data:

FIRST PHASE SOCIAL RESEARCH

Territory....................Tarlabashi, Istanbul Eviction process...............have started 2012 Next wave of eviction............. 326 families

Space organization for mixed type of community /diagram for 425 families/ Upper class appartment

Middle class appartment

Low class appartment

Public space

8.2 ATTACHMENT

FIRST PHASE SOCIAL RESEARCH

The first phase of the project was dedicated to the historical and cultural research, the conclusion of which was eventually presented as a data of family typology, economic indicators pricing of housing in the Istanbul , religious relations between people. These data formed the basis for the creation of the spatial distribution of families on the site. The task was to create a mixed type community that includes all three social classes inside. In other words, to offer a new model of living, that hadnâ&#x20AC;&#x2122;t existed before in this area.

Social network we presented as a material that fulfill the space. The appearance of the material was based on an algorithm according economical, religious and social indicators that influensed on the families location. The next step was to consider the relationships that exist within the same material, and to understand what may be happening at the intersection of these connections between different materials (different social classes).

The desire to make the lower class live next to the upper class we had to build a program that will help to resolve the intersection of different classes and allow people to feel very comfortable on the street. Very simple rules, such as not to place the commercial functions at the intersection of the poor to the rich, but to place there minarets or playgrounds will help people feel more comfortable.

mosque laundry playground parking space sitting space

IN type1 economic interactions and not material (spiritual) interaction 2 1

WORKSHOPS PARKING

workshop mosque playground parking space sitting space

economic interactions and not material (spiritual) interaction 2 3

mosque playground parking space cafes/shops

not material (spiritual) interaction 3 IN type3 1 MOSQUE

IN type2

WORKSHOP COFEHAUSE PARKING

PLAYGROUNDS GREEN ZONES (PLACE FOR REST)

8 .2 ATTACHMENT

FIRST PHASE SOCIAL RESEARCH

8.2 ATTACHMENT

FIRST PHASE SOCIAL RESEARCH BENCHES / FOUNTAINS BENCHES / FOUNTAINS GREEN ZONES / COFEHAUSE

WORKSHOPS AREA

PLAYGROUND / LAUNDRY

WORKSHOPS AREA

1

PLAYGROUND / LAUNDRY

GREEN ZONES / COFEHAUSE

WORKSHOPS AREA

PLAYGROUND

WORKSHOPS AREA

WORKSHOPS AREA

GREEN ZONES / COFEHAUSE

2

GREEN ZONES / COFEHAUSE

WORKSHOPS PARKING ENTRANCE

3

WORKSHOPS PARKING ENTRANCE

BENCHES / FOUNTAINS

PLAYGROUND / LAUNDRY WORKSHOPS AREA PLAYGROUND / LAUNDRY GREEN ZONES / COFEHAUSE WORKSHOPS PARKING ENTRANCE

PLAYGROUND / LAUNDRY WORKSHOPS AREA GREEN ZONES / COFEHAUSE WORKSHOPS AREA

BENCHES / FOUNTAINS

8.3 REFERENCES

8.3 REFERENCES

turkeish house prototype The Image of Turkey House Prototype-CAPPADOCI

Cappadocia 3 000 years b.c.

Cappadocia 2 000 years b.c.

Cappadocia 2 000

Housing prototype in Turkey. People were digging the housing a space for themselves . The religious troglodytes established monastic settlements, and their cave churches add a biblical solemnity to the Flintstones-like region. They create and simulate the space. Even now they are trying to imitate those spaces turning them into luxury hotels and expensive homes. 5 000 years pased but the intrigue of his own to create a space for himself still inspires everybody.

Cappadocia - Land of fairy chimneys1

Cappadocia - Land of fairy chimneys2

Cappadocia - Land of fairy chimneys3

8.3 REFERENCES

turkeish house prototype The Image of Turkey House Prototype-CAPPADOCI

Cappadocia interor space have different size,the size from a few square meters to several tens of square meters.The interior of the building continuously, there is no obvious segmentation,in order to meet the different family types.In the section ,there are a lot of narrow veritical stair to connect different layers.Cappadocia contains several underground cities, largely used by early Christians as hiding places before Christianity became an accepted religion. The underground cities have vast defence networks of traps throughout their many levels. These traps are very creative, including such devices as large round stones to block doors and holes in the ceiling through which the defenders may drop spears.

8.3 REFERENCES

remove and relocate model The Plug-in-City,Peter Cook, 1964

The Plug-in City was seen as a total project that was worked upon between 1962 and 1964. The Metal Cabin Housing was a type of capsule prototype that was could be removed and relocated on different concrete â&#x20AC;&#x2DC;megastructuresâ&#x20AC;&#x2122; that could be located in different cities and countries.

The Plug-in City was a large-scale network-structure that contained access ways and services to any terrain.

8.3 REFERENCE

different size house ,outdoor space Moshe Safdie Habitat 67, Montreal, 1967

House at all levels are accessed by outdoor pedestrian streets that widen into play areas for children at numerous places throughout the building.The residences range in size from one bedroom dwellings of 57square metres.Habitat is three dimensional soace struture in all the parts of the building,including the units, the pedestrian streets,and the three elevator cores participate as loadbearing members.To create 158residences,354pre-finished factory units are connected by post-tensioning,high-tension rods,cables and welding to form a continuous suspension system.

8.3 REFERENCES

different size of apartments flexible reorganising interial space Izola Social Housing ,OFIS arhitekti, 2006,Izola, Slovenia

The project required 30 apartments of different sizes and structures, varying from studio flats to 3-bedroom apartments.There are no structural elements inside the apartments, thus providing flexibility and the possibility of reorganising things.The project proposed a veranda for each apartment, thus providing an outdoor space that is intimate, partly connected with the interior, shady and naturally

8.3 REFERENCES

a continuous path through a stack of connected planes OMA,JUSSIEU-TWO LIBARIES,PARIS,1992

“All ends meet in the “Endless” as they meet in life. Life’s rhythms are cyclical. All ends of living meet during twenty-four hours, during a week, a lifetime. They touch one another with the kiss of time. They shake hands, stay, say goodbye, return through the same or other doors, come and go through multi-links, secretive or obvious, or through the whims of memory.” --- By Friedrick Kiesler

unrolled section,EL Croquis:Rem Koolhaas OMA

8.3 REFERENCE

first real size 3D print house,recycle material The world’s first 3D-printed house,DUS architects , Amsterdam, 2013

“The KamerMaker (RoomBuilder) is the World first movable pavilion that can 3D-print entire rooms of plastics. This machine can print 3D product of PLA (bio plastics produced from corn). Just like its little sister, the KamerMaker can print small interiors, measuring up to 2.4 (width) x 3 (length) x 3 height).The production process has already begun – developers aim to have the entire front façade of the canal house constructed before the end of the year,along with the building’s internal lobby. As development continues, a 3D-printed kitchen, study, storage room and guestroom are to be added to the building.

8.3 REFERENCES

3d print concrete The Contour Crafting Technology,Dr. Behrokh Khoshnevis,

The Contour Crafting is a construction technology that potentially reduces energy use and emissions by using a rapid-prototype or 3-D printing process to fabricate Contour crafting is a building printing technology under development by Behrokh Khoshnevis of the University of Southern California's InformationSciences Institute (in the Viterbi School of Engineering) that uses a computer-controlled crane or gantry to build edifices rapidly and efficiently without manual labor. It was originally conceived as a method to construct molds for industrial parts.

8.3 REFERENCES

3d print concrete The Contour Crafting Technology,Dr. Behrokh Khoshnevis,

“The KamerMaker (RoomBuilder) is the World first movable pavilion that can 3D-print entire rooms of plastics. This machine can print 3Dproduct of PLA (bio plastics produced from corn). Just like its little sister, the KamerMaker can print small interiors, measuring up to 2.4 (width) x 3 (length) x 3 (height). Each part of the property is initially printed in a scale of 1:20 on a smaller printer, before being printed in its final size, layer by layer, by the main printer.The production process has already begun – developers aim to have the entire front façade of the canal house constructed before the end of the year,along with the building’s internal lobby. As development continues, a 3D-printed kitchen, study, storage room and guestroom are to be added to the building.

8.3 REFERENCE

solar and sand 3D cutter Solar Sinter, Markus Kayser, 2010

This was a solar-powered, semi-automated low-tech laser cutter, that used the power of the sun to drive it and directly harnessed its rays through a glass ball lens to â&#x20AC;&#x2DC;laserâ&#x20AC;&#x2122; cut 2D components using a cam-guided system. The material of the project is to use sand and sun.These 3D printers use laser technology to create very precise 3D objects from a variety of powdered plastics, resins and metals - the objects being the exact physical counterparts of the computer-drawn 3D designs inputted by the designer.

8.4 BIBLIOGRAPHY

FORCED EVICTION PROCESS: - HOW PEOPLE FACE EVICTIONS

BY YVES CABANNES, SILVIA CUIMARAES YAFAI and CASSIDY JOHNSON, University College London 2010;

RESIDENTIAL SEGREGATION & MIXED INCOME COMMUNITY: - SEGREGATED NEIGHBOURHOOD AND MIXED COMMUNITIES 'A CRITICAL ANALYSIS'

BY PAUL CHESHIRE, London School of Economics, 2007; - GOOD PLACE FOR CHILDREN? ATTRACTING AND RETAINING FAMILIES IN INNER URBAN MIXED INCOME COMMUNITIES

BY EMILY SILVERMAN, RUTH LUPTON and ALEX FENTON, University of London, 2000; - LIFE BETWEEN BUILDINGS USING PUBLIC SPACE

BY JAN GEHL, Van Nostrand Reinhold Company Inc 1987;

NEIGHBOUHOODS & HOUSING IN ISTANBUL: - SQUATTER (GECEKONDU) HOUSING VERSUS APARTMENT HOUSING: TURKISH RURALTO-URBAN MIGRANT RESIDENTS' PERSPECTIVES

BY TERMAN Bilkent University, Ankara, Turkey ABSTRACT 1997 -THE GENESIS OF THE GECEKONDU : RURAL MIGRATION AND URBANIZATION

BY Kemal H. Karpat (1976); - REPORT TO THE EXECUTIVE DIRECTOR OF THE UNHABITAT PROGRAM

Report to the Executive Director of the UN Habitat Programme Mission to Istanbul, June 2009 - TURKEYS NEIGHBORHOOD

EDITED BY Mustafa Kibaroglu, Foreign Policy Institute 2006

THANK YOU

Dessau International Architecture School 2013